Instructions to use cjvt/roberta-en-hi-codemixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/roberta-en-hi-codemixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cjvt/roberta-en-hi-codemixed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cjvt/roberta-en-hi-codemixed") model = AutoModelForMaskedLM.from_pretrained("cjvt/roberta-en-hi-codemixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec1c3491f0194876fff4875cf244f0394368c729fd2b61cfc8e25113554ee82
- Size of remote file:
- 467 MB
- SHA256:
- 3e57237659da5b000e8f2f50557995684c3f1040bd1693df9890641c35ed495c
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